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Artificial Intelligence in Elderly Care: Navigating Ethical and Responsible AI Adoption for Seniors

In: Fostering Long-Term Sustainable Development in Africa

Author

Listed:
  • David Mhlanga

    (The University of Johannesburg)

Abstract

This chapter delves into the critical intersection of aging and the rapidly evolving field of artificial intelligence (AI). This exploration is anchored in the recognition of the unique potential that AI holds for enhancing the lives of seniors, while also acknowledging the complex ethical and practical challenges that accompany its adoption in elder care. The chapter comprehensively examines how AI can revolutionize healthcare, assistive technologies, and social engagement for the elderly, offering solutions that promise increased independence, improved health management, and reduced social isolation. Simultaneously, it addresses the pivotal concerns of privacy, autonomy, and the need for human-centric care in the AI-augmented landscape. We emphasize the importance of developing AI technologies that are not only technologically advanced but also ethically sound, inclusive, and transparent. The chapter proposes a multidisciplinary approach involving seniors, caregivers, healthcare professionals, and AI developers in the conversation, ensuring that AI adoption in elder care is aligned with the real needs and preferences of seniors. By presenting current state-of-the-art developments, potential benefits, and ethical guidelines, this chapter seeks to foster a responsible and beneficial integration of AI into the lives of seniors, enhancing their quality of life while upholding their dignity and agency.

Suggested Citation

  • David Mhlanga, 2024. "Artificial Intelligence in Elderly Care: Navigating Ethical and Responsible AI Adoption for Seniors," Springer Books, in: David Mhlanga & Mufaro Dzingirai (ed.), Fostering Long-Term Sustainable Development in Africa, chapter 0, pages 411-440, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-61321-0_18
    DOI: 10.1007/978-3-031-61321-0_18
    as

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